Items where Author is "Tay, Kai Meng"

Article

Yi, Wen Kerk and Chin, Ying Teh and Tay, Kai Meng and Lim, Chee Peng (2021) Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 29 (7). pp. 1864-1873. ISSN 1063-6706

Tay, Kai Meng and Pang, Lie Meng and Lim, Chee Peng and Ishibuchi, Hisao (2020) A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology. IEEE Transactions on Fuzzy Systems, 8. pp. 144908-144930. ISSN 1063-6706

Tay, Kai Meng and Kerk, Yi Wen and Teh, Chin Ying and Lim, Chee Peng (2020) Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function. IEEE Transactions on Fuzzy Systems. pp. 1-23. ISSN 1063-6706

Sang, Anisia J. and Tay, Kai Meng and Chee, P. Lim and Saeid, Nahavandi (2018) Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives. IEEE Access, 6. pp. 74628-74647. ISSN 21693536

Chin, Ying Teh and Yi, Wen Kerk and Tay, Kai Meng and Chee, Peng Lim (2018) On Modelling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference Systems using a System Identification Framework. IEEE Transactions on Fuzzy Systems, 26 (6). pp. 3860-3874. ISSN 10636706

Chin, Ying Teh and Tay, Kai Meng and Chee, Peng Lim (2018) On the Monotonicity Property of the TSK Fuzzy Inference System: The Necessity of the Sufficient Conditions and the Monotonicity Test. International Journal of Fuzzy Systems, 20 (6). pp. 1915-1924. ISSN 15622479

Chang, Wuilee and Liew, Meng Pang and Tay, Kai Meng (2017) Application of self-organizing map to failure modes and effects analysis methodology. Neurocomputing, 2017. ISSN 0925-2312

Chang, Wuilee and Tay, Kai Meng and Lim, Cheepeng (2017) A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization. Neural Processing Letters. pp. 1-31. ISSN 13704621

Fei, Ha Chiew and Chee, Khoon Ng and Kok, Chin Chai and Tay, Kai Meng (2017) A Fuzzy Adaptive Resonance Theory-Based Model for Mix Proportion Estimation of High-Performance Concrete. Computer-Aided Civil and Infrastructure Engineering, 32 (9). ISSN 1467-8667

Chin, Ying Teh and Tay, Kai Meng and Chee, Peng Lim (2017) Monotone Data Samples Do Not Always Produce Monotone Fuzzy If- Then Rules: Learning with Ad hoc and System Identification Methods. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017. ISSN 1558-4739

Tay, Kai Meng and Liew, Meng Pang and Chee, Peng Lim (2016) Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System. IEEE Transactions on Fuzzy Systems, 24 (6). pp. 1455-1463. ISSN 1063-6706 (In Press)

Wui, Lee Chang and Tay, Kai Meng (2015) Clustering and visualization of failure modes using an evolving tree. Expert Systems with Applications, 42 (20). pp. 7235-7244. ISSN 9574174

Tay, Kai Meng (2015) An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis. IEEE Systems journal (99). pp. 1-12. ISSN 1932-8184

Tay, Kai Meng and Wui, Lee Chang and Chee, Peng Lim (2015) Clustering and visualization of failure modes using an evolving tree. Expert Systems with Applications, 42 (20). ISSN 0957-4174

Tay, Kai Meng and Jee, T.L and Lim, C.P (2015) A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis. IEEE Transaction on Reliability (99). pp. 1-9. ISSN 0018-9529

Tay, Kai Meng and Chian, Haur Jong and Chee, Peng Lim (2015) A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry. Neural Computing and Applications, 26 (3). pp. 551-560. ISSN 1433-3058

Tay, Kai Meng and Kok, Chin Chai and Chee, Peng Lim (2015) A new fuzzy peer assessment methodology for cooperative learning of students. Applied Soft Computing, 32. pp. 468-480. ISSN 1568-4946

Kok, Chin Chai and Tay, Kai Meng (2014) A perceptual computing-based approach for peer assessment. 9th International Conference on System of Systems Engineering (SOSE), 2014. ISSN ISBN: 978-1-4799-5227-4

Chin, Ying Teh and Tay, Kai Meng and Chee, Peng Lim (2013) Interval-based and fuzzy set-based approaches to modeling of fuzzy inference systems with the local monotonicity property. 2013 IEEE International Conference on Fuzzy Systems (FUZZ). ISSN 1098-7584 (Print)

See, Hung Lau and Tay, Kai Meng and Chee, Khoon Ng (2013) Monotonicity preserving SIRMs-connected fuzzy inference systems with a new monotonicity index: Learning and tuning. Fuzzy Systems (FUZZ), 2013 IEEE International Conference. pp. 1-7. ISSN 1098-7584

Tay, Kai Meng and Liew, Meng Pang and Tze, Ling Jee (2013) A New Framework With Similarity Reasoning and Monotone Fuzzy Rule Relabeling for Fuzzy Inference Systems. IEEE International Conference on Fuzzy Systems (FUZZ), 2013. ISSN 1098-7584

Tze, Ling Jee and Tay, Kai Meng (2012) Enhancing a Fuzzy Inference System-Based Criterion-referenced Assessment with an Analogical Reasoning Schema. Procedia - Social and Behavioral Sciences, 56. pp. 12-21. ISSN 1877-0428

Mohamed Basri, H. and Lias, K. and Wan Zainal Abidin, W.A and Tay, Kai Meng and Hushairi, Zen (2012) Fault Detection using Dynamic Parity Space Approach. IEEE International Power Engineering and Optimization Conference (PEDCO) Melaka, Malaysia, 2012. ISSN ISBN: 978-1-4673-0662-1

Chai, Koh Kiong and Tay, Kai Meng and Mohammad Omar, Abdullah (2011) Development of A Solar Photovoltaic System Equipped With A Sun Tracker System: A Case Study In Kuching, Sarawak. International Journal of Recent Research and Applied Studies, 7 (4). pp. 373-379. ISSN 2349-4891

Tay, Kai Meng and Lim, Chee Peng (2008) On the Use of Fuzzy Inference Techniques in Assessment Models: Part I: Theoretical Properties. Fuzzy Optim Decis Making, 7 (3). pp. 269-281.

Tay, Kai Meng and Lim, C.P (2008) On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications. Fuzzy Optimization and Decision Making, 7 (3). pp. 283-302.

Book Chapter

Ngian, Seng Kai and Tay, Kai Meng (2023) New Representations for Potential Failure Modes and Corrective Actions in FMEA. In: Volume 2: Unconventional Methods for Geoscience, Shale Gas and Petroleum in the 21st Century. Advances in Energy Research and Development, 2 (1). IOS Press, NA, pp. 79-87. ISBN 978-1-64368-418-5 (print) | 978-1-64368-419-2 (online)

Teh, Chin Ying and Tay, Kai Meng and Lim, Cheepeng (2017) Monotone Data Samples Do Not Always Generate Monotone Fuzzy If-Then Rules. In: Emerging Trends in Neuro Engineering and Neural Computation. Series in BioEngineering, 1 . Springer, Singapore, pp. 255-264. ISBN 978-981-10-3955-3

Proceeding

Jong, Chian Haur and Kerk, Yi Wen and Tay, Kai Meng and Lim, Chee Peng (2023) Monotone Fuzzy Rule Interpolation for TSK-FIS-Like n-Ary Aggregation Functions. In: 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 13-17 August 2023, Incheon, Korea.

Kerk, Yi Wen and Tay, Kai Meng and Lim, Chee Peng (2023) Some Notes on Monotone TSK Fuzzy Inference Systems. In: The 20th World Congress of the International Fuzzy Systems Association (IFSA 2023), 20-23 August 2023, Daegu, Korea. (In Press)

Kok, Chin Chai and Tay, Kai Meng and Chee, Peng Lim (2013) A new dempster-shafer theory-based method with fuzzy targets for fuzzy sets ranking. In: IEEE International Conference on Fuzzy Systems, 7 July 2013 through 10 July 2013, Hyderabad; India.

Nordiana, Rajaee and Tay, Kai Meng and Asrani, Lit and Sharifah Masniah, Wan Masra (2011) Using Fixed Column Primer for Computation of Boolean Matrix Multiplication with DNA. In: 11th International Conference on Hybrid Intelligent Systems (HIS), 2011, 5-8 Dec. 2011, Melacca.

Mohamad Faizrizwan, Mohd Sabri and Maimun, Huja Husin and Wan Azlan, Wan Zainal Abidin and Tay, Kai Meng and Hazrul, Mohamad Basri (2011) Design of FPGA-based Traffic Light Controller System. In: 2011 IEEE International Conference on Computer Science and Automation Engineering, 10-12 June 2011, Shanghai, China.

Tay, Kai Meng (2009) On fuzzy inference system based failure mode and effect analysis (FMEA) methodology. In: International Conference on Soft Computing and Pattern Recognition, 4 December 2009 through 7 December 2009, Malacca; Malaysia.